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alabarga/gmail_analyze.py

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Created September 24, 2015 06:17
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  1. @utsengar utsengar created this gist May 24, 2012.
    65 changes: 65 additions & 0 deletions gmail_analyze.py
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    #Install scipy: http://glowingpython.blogspot.it/2012/05/analyzing-your-gmail-with-matplotlib.html

    from imaplib import IMAP4_SSL
    from datetime import date,timedelta,datetime
    from time import mktime
    from email.utils import parsedate
    from pylab import plot_date,show,xticks,date2num
    from pylab import figure,hist,num2date
    from matplotlib.dates import DateFormatter

    def getHeaders(address,password,folder,d):
    """ retrieve the headers of the emails from d days ago until now """
    # imap connection
    mail = IMAP4_SSL('imap.gmail.com')
    mail.login(address,password)
    mail.select(folder)
    # retrieving the uids
    interval = (date.today() - timedelta(d)).strftime("%d-%b-%Y")
    result, data = mail.uid('search', None, '(SENTSINCE {date})'.format(date=interval))
    # retrieving the headers
    result, data = mail.uid('fetch', data[0].replace(' ',','), '(BODY[HEADER.FIELDS (DATE)])')
    mail.close()
    mail.logout()
    return data

    def diurnalPlot(headers):
    """ diurnal plot of the emails, with years running along the x axis and times of day on the y axis."""
    xday = []
    ytime = []
    for h in headers:
    if len(h) > 1:
    timestamp = mktime(parsedate(h[1][5:].replace('.',':')))
    mailstamp = datetime.fromtimestamp(timestamp)
    xday.append(mailstamp)
    # Time the email is arrived
    # Note that years, month and day are not important here.
    y = datetime(2010,10,14, mailstamp.hour, mailstamp.minute, mailstamp.second)
    ytime.append(y)

    plot_date(xday,ytime,'.',alpha=.7)
    xticks(rotation=30)
    return xday,ytime

    def dailyDistributioPlot(ytime):
    """ draw the histogram of the daily distribution """
    # converting dates to numbers
    numtime = [date2num(t) for t in ytime]
    # plotting the histogram
    ax = figure().gca()
    _, _, patches = hist(numtime, bins=24,alpha=.5)
    # adding the labels for the x axis
    tks = [num2date(p.get_x()) for p in patches]
    xticks(tks,rotation=75)
    # formatting the dates on the x axis
    ax.xaxis.set_major_formatter(DateFormatter('%H:%M'))


    print 'Fetching emails...'
    headers = getHeaders('[email protected]','your_password','inbox',365*2) #or [Gmail]/Sent Mail

    print 'Plotting some statistics...'
    xday,ytime = diurnalPlot(headers)
    dailyDistributioPlot(ytime)
    print len(xday),'Emails analysed.'
    show()